{"title":"Hata-Yanagiya 体力活动计算系统:一种基于全球定位系统的新方法,用于准确估算步行和跑步时的耗氧量。","authors":"Keiichiro Hata, Toshio Yanagiya, Hiroaki Noro, Yoshio Suzuki","doi":"10.3389/fspor.2024.1522214","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Marathon running has become increasingly popular among amateur athletes, many of whom maintain speeds of 8-9 km/h. However, existing methods for estimating oxygen consumption (VO<sub>2</sub>) during running and walking-such as the American College of Sports Medicine (ACSM) equations and commercial activity monitors-often lack accuracy and transparency. This study introduces the Hata-Yanagiya Physical Activity Calculation (HYPAC) system, a novel approach for estimating VO<sub>2</sub> using Global Positioning System (GPS) and map data.</p><p><strong>Methods: </strong>The HYPAC system was developed through regression equations based on metabolic equivalents (METs) and slope data. To validate the system, 10 university students (5 runners, 5 non-runners) completed a 5 km course while equipped with a GPS device and a portable metabolic measurement system. VO<sub>2</sub> estimates from the HYPAC system were compared with measured values and those calculated using ACSM equations.</p><p><strong>Results: </strong>The HYPAC system demonstrated high accuracy in estimating VO<sub>2</sub>, with a relative error of -0.03 [95% confidence intervals (CI): -0.14, 0.08] compared to measured values. For the running group, the HYPAC system achieved the lowest absolute mean relative error (0.02). In the mixed running/walking group, the HYPAC system maintained strong performance with a relative error of -0.07 (95% CI: -0.26, 0.12).</p><p><strong>Discussion: </strong>The HYPAC system provides a transparent and accurate method for estimating VO<sub>2</sub> during walking and running, outperforming existing methods under varied conditions. Its open-source framework encourages further validation and improvement by researchers and practitioners. Future studies should address limitations such as sample size and population diversity to enhance the system's applicability.</p>","PeriodicalId":12716,"journal":{"name":"Frontiers in Sports and Active Living","volume":"6 ","pages":"1522214"},"PeriodicalIF":2.3000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11757879/pdf/","citationCount":"0","resultStr":"{\"title\":\"Hata-Yanagiya physical activity calculation system: a novel global positioning system-based method for accurate estimation of oxygen consumption during walking and running.\",\"authors\":\"Keiichiro Hata, Toshio Yanagiya, Hiroaki Noro, Yoshio Suzuki\",\"doi\":\"10.3389/fspor.2024.1522214\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Marathon running has become increasingly popular among amateur athletes, many of whom maintain speeds of 8-9 km/h. However, existing methods for estimating oxygen consumption (VO<sub>2</sub>) during running and walking-such as the American College of Sports Medicine (ACSM) equations and commercial activity monitors-often lack accuracy and transparency. This study introduces the Hata-Yanagiya Physical Activity Calculation (HYPAC) system, a novel approach for estimating VO<sub>2</sub> using Global Positioning System (GPS) and map data.</p><p><strong>Methods: </strong>The HYPAC system was developed through regression equations based on metabolic equivalents (METs) and slope data. To validate the system, 10 university students (5 runners, 5 non-runners) completed a 5 km course while equipped with a GPS device and a portable metabolic measurement system. VO<sub>2</sub> estimates from the HYPAC system were compared with measured values and those calculated using ACSM equations.</p><p><strong>Results: </strong>The HYPAC system demonstrated high accuracy in estimating VO<sub>2</sub>, with a relative error of -0.03 [95% confidence intervals (CI): -0.14, 0.08] compared to measured values. For the running group, the HYPAC system achieved the lowest absolute mean relative error (0.02). In the mixed running/walking group, the HYPAC system maintained strong performance with a relative error of -0.07 (95% CI: -0.26, 0.12).</p><p><strong>Discussion: </strong>The HYPAC system provides a transparent and accurate method for estimating VO<sub>2</sub> during walking and running, outperforming existing methods under varied conditions. Its open-source framework encourages further validation and improvement by researchers and practitioners. Future studies should address limitations such as sample size and population diversity to enhance the system's applicability.</p>\",\"PeriodicalId\":12716,\"journal\":{\"name\":\"Frontiers in Sports and Active Living\",\"volume\":\"6 \",\"pages\":\"1522214\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11757879/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Sports and Active Living\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/fspor.2024.1522214\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"SPORT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Sports and Active Living","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fspor.2024.1522214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
Hata-Yanagiya physical activity calculation system: a novel global positioning system-based method for accurate estimation of oxygen consumption during walking and running.
Introduction: Marathon running has become increasingly popular among amateur athletes, many of whom maintain speeds of 8-9 km/h. However, existing methods for estimating oxygen consumption (VO2) during running and walking-such as the American College of Sports Medicine (ACSM) equations and commercial activity monitors-often lack accuracy and transparency. This study introduces the Hata-Yanagiya Physical Activity Calculation (HYPAC) system, a novel approach for estimating VO2 using Global Positioning System (GPS) and map data.
Methods: The HYPAC system was developed through regression equations based on metabolic equivalents (METs) and slope data. To validate the system, 10 university students (5 runners, 5 non-runners) completed a 5 km course while equipped with a GPS device and a portable metabolic measurement system. VO2 estimates from the HYPAC system were compared with measured values and those calculated using ACSM equations.
Results: The HYPAC system demonstrated high accuracy in estimating VO2, with a relative error of -0.03 [95% confidence intervals (CI): -0.14, 0.08] compared to measured values. For the running group, the HYPAC system achieved the lowest absolute mean relative error (0.02). In the mixed running/walking group, the HYPAC system maintained strong performance with a relative error of -0.07 (95% CI: -0.26, 0.12).
Discussion: The HYPAC system provides a transparent and accurate method for estimating VO2 during walking and running, outperforming existing methods under varied conditions. Its open-source framework encourages further validation and improvement by researchers and practitioners. Future studies should address limitations such as sample size and population diversity to enhance the system's applicability.